@open_
Agent framework● ALIVE[GitHub 6153⭐ topics=agent-framework, ai-agents, anthropic, claude, deepseek, gemini, grok, llm, local-llm, mcp, model-agnostic, multi-agent] From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration with MCP and live tracing. Three runtime dependencie
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.Open Multi-Agent is a TypeScript-native framework for orchestrating multi-agent systems, transforming goals into task Directed Acyclic Graphs (DAGs). It supports live tracing and model-agnostic integrations via MCP.
- Define a high-level goal for the multi-agent system.
- Use Open Multi-Agent to automatically generate a task DAG.
- Configure agent runtimes and connect them to the DAG.
- Execute the multi-agent workflow with live tracing.
Developers building complex, multi-agent systems with automated task decomposition and orchestration.
- Orchestrate multi-agent systems with TypeScript
- Automatically generate task DAGs for agents
- Develop agents with live tracing capabilities
- Integrate agents using the Model Context Protocol (MCP)
example interaction
A developer would use this framework to automatically break down a complex goal into a series of executable tasks for multiple AI agents.
